PPT-BLACK BOX INVARIANT SYNTHESIS

Pranav Garg University of illinois at urbanachampaign Joint work with P madhusudan uiuc christof loding RWTH AAchen daniel neider RWTH Aachen. Lazy . Red. -. Black. Trees. Stefan . Kahrs. Overview. some general introduction on BSTs. some specific observations on red-black trees. how we can make them lazy - and why we may want to. conclusions. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 15. 14. A Chessboard Problem. ?. A . Bishop . can only move along a diagonal. Can a . bishop . move from its current position to the question mark?. Violating Measurement Independence without fine-tuning, conspiracy, or constraints on free will. Tim Palmer. Clarendon Laboratory. University of Oxford. T. o explain the experimental violation of Bell Inequalities, a putative theory of quantum physics must violate one (or more) of:. and calculus of shapes. © Alexander & Michael Bronstein, 2006-2010. tosca.cs.technion.ac.il/book. VIPS Advanced School on. Numerical Geometry of Non-Rigid Shapes . University of Verona, April 2010. Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!.  . 2. Invariants. Armando Solar-Lezama. Synthesis: 1980s view. Complete Formal Specification. Synthesis: modern view.  .  . Space of programs.  . Reference Implementation. Test Harnesses. Input/Output. Examples.  . Antoine . Miné. Jason . Breck. Thomas . Reps. Dagstuhl. ,. November 2015. The Pliny Project. Question for future work: How can we make the best use of . loop invariants. to support code search, synthesis, and repair?. Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!.  . 2. Invariants. Discuss with your group.. Be prepared to share your answers. . The Hardest Part. The synthesis section is the hardest part of the exam. It is worth . 47. % . of the entire exam!. 17 % -- multiple choice. ベクター中間子の質量変化の検証. . Introduction. Experimental Setup. Results. Future Plan. Kyoto . Univ.. a. , . KEK. b. , . RIKEN. c. , CNS Univ. of . Tokyo. d. ,. Megumi . Naruki. Student: Yaniv Tocker. . . Final . Project in 'Introduction to . Computational . & Biological Vision' Course. Motivation. 2. Optical Character Recognition (OCR):. Automatic . translating of letters/digits in images to a form that a computer can manipulate (Strings, ASCII codes. Find a bottle:. 4. Categories. Instances. Find these two objects. Can’t do. unless you do not . care about few errors…. Can nail it. Building a Panorama. M. Brown and D. G. Low. e. . Recognising Panorama. Speaker: Laurent Beauregard laurent.beauregard@isae-supaero.fr. Co-. authors. : Emmanuel . Blazquez. . Dr. St. éphanie. . Lizy-Destrez. 07/06/17. OPTIMIZED TRANSFERS BETWEEN EARTH-MOON INVARIANT MANIFOLDS. University of Pennsylvania. 1. Program Verification. 2. Verifier. Proof of correctness or Witness of a bug. Specification S. Program P. Classical Program Synthesis. 3. Synthesizer. Specification S. High Level.